Triple

T12839940
Position Surface form Disambiguated ID Type / Status
Subject John Travolta E307022 entity
Predicate notableWork P4 FINISHED
Object Get Shorty E344122 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Get Shorty | Statement: [John Travolta, notableWork, Get Shorty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Shorty
Context triple: [John Travolta, notableWork, Get Shorty]
  • A. Get Shorty
    Get Shorty is a 1995 crime-comedy film, based on Elmore Leonard’s novel, that follows a Miami loan shark navigating Hollywood’s movie business.
  • B. Get Shorty (film) chosen
    Get Shorty (film) is a 1995 crime-comedy movie about a smooth-talking loan shark navigating Hollywood, based on Elmore Leonard’s novel of the same name.
  • C. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
  • D. Getlink
    Getlink is a French-based company that owns and operates the infrastructure of the Channel Tunnel rail link between the United Kingdom and continental Europe.
  • E. K-short
    K-short is the short-lived neutral kaon, a subatomic meson that decays rapidly via the weak interaction and plays a key role in studies of CP violation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edd30e881909062e8f91f614990 completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.